About Watershed
Our vision is to become the leading biocomputing platform. The future of biology is in big data analysis, and we are on a mission to accelerate digital drug discovery with the Watershed platform. Watershed enables scientists to conduct all essential analysis — from lab data to plot — with a single software platform.
We have attracted some of the best bioinformatics, engineering, and commercial talent, and we are growing! Join a team that’s intellectually curious with a bias for action, headquartered in Cambridge, Massachusetts, composed of people who have come together to enable outcomes while empowering the research of all those committed to changing lives — all while bringing transformational change to a $40 billion industry.
Responsibilities
- Integrate software libraries and cluster computing frameworks into high performance applications
- Develop solutions for benchmarking, metric collection, and monitoring of resources
- Collaborate with software engineers to optimizing software and maximize computational throughput
Qualifications
- Experience in all of the following areas: parallel computing, distributed computing, computer architecture, and software optimization
- Programming experience in Python, C/C++, and Bash
- Experience working with Unix/Linux, containerization, and cloud environments
- Familiarity with networking, security, and the Linux operating system
- Ability to analyze very complex problems and come up with novel solutions
Watershed is an equal-opportunity employer and believes diversity of all types is integral to company success. We do not discriminate on the basis of religion, sexual orientation, gender identity, race, ethnicity, national origin, marital status, veteran status, or disability status.
What We Do
Watershed Informatics is the first end-to-end bio-IT managed service provider. Our Cloud Data Lab enables life sciences organizations of any size to perform mission-critical bioinformatics analyses (such as bulk, single-cell, and spatial transcriptomics; ATAC-Seq; proteomics, etc.) at an order of magnitude less cost and complexity than existing solutions.
The Cloud Data Lab provides reliable, secure, scalable, and accessible storage, computation, and analysis tools specifically optimized for catalyzing the life sciences development pipeline.
Our approach enables biologists to analyze their own -omics data and bioinformaticians to rapidly prototype and deploy bespoke analytic workflows across an organization.
Our clients, including Revitope Oncology, SQZ Biotech, and Rarebase rave about our platform, and we'd love the opportunity to enable your organization's analyses as well.
Please reach out to [email protected] for more information and a live demo.
